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  • 标题:A micro-genesis account of longer-form reinforcement learning in structured and unstructured environments
  • 本地全文:下载
  • 作者:Benjamin James Dyson ; Ahad Asad
  • 期刊名称:npj Science of Learning
  • 电子版ISSN:2056-7936
  • 出版年度:2021
  • 卷号:6
  • DOI:10.1038/s41539-021-00098-4
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:We explored the possibility that in order for longer-form expressions of reinforcement learning ( win-calmness, loss-restlessness) to manifest across tasks, they must first develop because of micro-transactions within tasks. We found no evidence of win-calmness or loss-restlessness when wins could not be maximised ( unexploitable opponents), nor when the threat of win minimisation was presented ( exploiting opponents), but evidence of win-calmness (but not loss-restlessness) when wins could be maximised ( exploitable opponents).
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